BLOCKCHAIN-BASED CROP MONITORING USING AN INTERPLANETARY FILE SYSTEM
DOI:
https://doi.org/10.47163/agrociencia.v59i8.3553Keywords:
agriculture, blockchain technology, machine learning.Abstract
Continuous monitoring of crops is essential for early issue detection and data-driven decision making, which supports improved yield, quality, and environmental sustainability in agriculture. Blockchain technology has been used for continuous monitoring of agricultural fields, although its adoption remains limited due to economic and technological constraints. This study proposes an enhanced crop-monitoring framework with InterPlanetary File System (IPFS) technology to overcome the limitations of existing models. Experimental evaluation showed that the proposed model achieved 98 % accuracy and a 99.8 % confidentiality rate. System throughput increased from 3 kb s-1 for 10 kb of data to 307 kb s-1 for 3000 kb, demonstrating strong scalability. By integrating decentralized IPFS storage with blockchain-based traceability, the system ensures data integrity, cost-efficiency, and reliable real-time monitoring, offering a practical solution for precision agriculture. These findings demonstrate the potential of the IPFS-enabled framework as an efficient alternative to conventional blockchain-dependent models.
Additional Files
Published
Issue
Section
License
Agrociencia is published every 45 days, in an English format, and it is edited by the Colegio de Postgraduados. Mexico-Texcoco highway Km. 36.5, Montecillo, Texcoco, Estado de México, CP 56264, Telephone (52) 5959284427. www.colpos.mx. Editor-in-Chief: Dr. Fernando Carlos Gómez Merino. Rights Reserved for Exclusive Use: 04-2021-031913431800-203, e-ISSN: 2521-9766, granted by the National Institute for Author Right.








